Research Article | Published: 01 March 2008

Volume prediction model for Chir pine (Pinus roxburghii Sargent)

D. P. Sharma and Rakhi Nanda

Indian Journal of Forestry | Volume: 31 | Issue: 1 | Page No. 57-60 | 2008
DOI: https://doi.org/10.54207/bsmps1000-2008-9X1DVO | Cite this article

Abstract

The study was conducted on Chir pine stand (Pinus roxburghii Sargent) at Barog range (R-31) under Solan Forest Division (H.P.) during the year 2004-2005, to develop volume prediction model based allometric relationships between stand volume and stem growth parameters (DBH and Height). Among various linear and non-linear function, both log-linear and power function performed comparatively better over other functions. In both the functions, DBH and Height parameters explained 99 per cent and 95 per cent of variation in the stem volume, respectively. However, the power function outperformed the log-linear function, when data were subjected to chi-square test of goodness of fit and thereafter using Theil-U test. The predicted volumes based on DBH and Height was cross validated and the DBH proved to be the best predictive parameter for stem volume estimation.

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How to cite

Sharma, D.P. and Nanda, R., 2008. Volume prediction model for Chir pine (Pinus roxburghii Sargent). Indian Journal of Forestry, 31(1), pp.57-60. https://doi.org/10.54207/bsmps1000-2008-9X1DVO

Publication History

Manuscript Published on 01 March 2008

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